Vehicle ride comfort: subjective & objective evaluations with ann model

Abstract

Vehicle ride comfort is a crucial factor in customer satisfaction. It is evaluated using two methods: subjective and objective. This research focuses on assessing ride comfort based on measured RMS values. The primary objective is to develop a model that enables comfort evaluation using experimentally obtained data. The paper presents the results of ride comfort testing conducted under controlled conditions and the development of an ANN model for predicting comfort levels. Additionally, correlations between subjective and objective ride comfort assessments are analyzed.